TY - GEN
T1 - Cardiac deformation indices derived from motion estimated X-ray computed tomography
AU - Jiang, Liwei
AU - Tang, Qiulin
AU - Taguchi, Katsuyuki
PY - 2013
Y1 - 2013
N2 - Cardiac deformation indices such as strain, strain rate, and time to maximal strain are valuable in early detection of heart disease and hold tremendous prognostic value in assessing patients recovering from heart failure. These indices have been previously measured in modalities such as Doppler echocardiography and magnetic resonance imaging. However, cardiac deformation has not been well characterized in X-ray computed tomography (CT), a modality whose balance of high acquisition speed and good temporal and spatial resolution makes it highly desirable in the clinical setting. The current work, an extension of our group's previously published cardiac motion estimation algorithm, calculates deformation indices such as strain, strain rate, maximum strain, and time to maximal strain from four-dimensional motion vector field data. Along each dimension, calculations are made between every adjacent pair of grid points, thus striving for simplicity while yielding an increase in spatial resolution over approaches that divide the heart into a number of segments. Results are visualized as semi-transparent color maps superimposed on CT image slices in the short-axis view and the two long-axis views. Results agree with the expected behavior of myocardial contraction. Animal studies are underway to better assess the physiologic accuracy of the calculated deformation indices as well as to compare the results with those from other imaging modalities. The present work and its further refinements may yield rich yet easily accessible information for clinicians in early diagnosis and follow-up monitoring.
AB - Cardiac deformation indices such as strain, strain rate, and time to maximal strain are valuable in early detection of heart disease and hold tremendous prognostic value in assessing patients recovering from heart failure. These indices have been previously measured in modalities such as Doppler echocardiography and magnetic resonance imaging. However, cardiac deformation has not been well characterized in X-ray computed tomography (CT), a modality whose balance of high acquisition speed and good temporal and spatial resolution makes it highly desirable in the clinical setting. The current work, an extension of our group's previously published cardiac motion estimation algorithm, calculates deformation indices such as strain, strain rate, maximum strain, and time to maximal strain from four-dimensional motion vector field data. Along each dimension, calculations are made between every adjacent pair of grid points, thus striving for simplicity while yielding an increase in spatial resolution over approaches that divide the heart into a number of segments. Results are visualized as semi-transparent color maps superimposed on CT image slices in the short-axis view and the two long-axis views. Results agree with the expected behavior of myocardial contraction. Animal studies are underway to better assess the physiologic accuracy of the calculated deformation indices as well as to compare the results with those from other imaging modalities. The present work and its further refinements may yield rich yet easily accessible information for clinicians in early diagnosis and follow-up monitoring.
KW - Cardiac deformation
KW - Cardiac function analysis
KW - Computed tomography
KW - Motion estimation
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U2 - 10.1117/12.2008079
DO - 10.1117/12.2008079
M3 - Conference contribution
AN - SCOPUS:84878269444
SN - 9780819494429
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2013
T2 - Medical Imaging 2013: Physics of Medical Imaging
Y2 - 11 February 2013 through 14 February 2013
ER -